Senior Data Scientist

Data mining and analysis By

• Analyzing and linking multiple data sources.
• Analyzing data quality issues
• Data preparation and processing for data required for analysis.
• Implementing ad-hoc analysis and presenting in standard presentation methods.
• Assure effectiveness and efficiency of data gathering tools.

Data mining and score models By

• Introducing new powerful data mining and score models utilizing the data available among multiple data sources.
• Conduct researches on best models, which could be developed using current available data.
• Introduce new analytic models in coordination with different business lines that help members in decisioning.

Score validation and monitoring By

• Ongoing monitoring, validating new models developed in-house for better performance.
• Monthly monitoring of the scorecards performance stability
• Share in validating score models as per schedule.

Planning and processing assigned value-added products By

• Validate MIS data and ensure that all data are updated successfully on the database.
• Highlight any big variances in data throughout out the historical counts.
• Prepare MIS reports to be provided to customers.

Preparing and analyzing business analysis or adhoc reports by

• Receiving and discussing any new requested analysis reports.
• Analyzing and checking consistency and quality of requested data.
• Prepare requested analysis and discuss with direct management level.
• Provide and publish requested reports or analysis.